How will AI and quant convergence drive returns?
As the AI race continues to gain momentum, investors are presented with a compelling investment opportunity.
AI companies have been generating significant returns, and while not immune to current market disruption, the ambition and technological promise of these companies remains impressive. From a process perspective, when paired with quantitative methods and other emerging technologies, AI is driving financial innovation and enhancing operational efficiency.
This collection of hand-picked thought leadership from Robeco presents a comprehensive view of the intersection of AI and quant investing, exploring AI’s potential as a thematic investment as well as a tool to enhance quantitative methods.
The rise of AI in 10 charts
AI development is not slowing down. Even as AI related stocks have faltered so far in 2025, competition has spurred continued investments into new AI models, digital infrastructure, and a wide range of applications across industries.
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You AI-nt seen nothing yet (podcast)
AI has shaken up the investment world, generating impressive stock-market gains for the perceived winners. Is the market now starting to move beyond its obsession with the usual suspects in the AI race? Robeco Portfolio Managers Jack Neele and Daniel Ernst discuss how they’re dealing with these questions.
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What the future holds for quant investing
Robeco believes technological development will remain a profound and critical influence on quant investing. The pace of advancement, especially in data and computing, over the next 20 years looks as fast, if not faster, than the past 20. With AI’s rapid rise, Robeco expects it to accelerate even further
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What increased index concentration means for investors
Mega-cap dominance has reshaped the landscape of active investing, creating both opportunities and risks. While their meteoric growth has driven innovation as well as outsized returns, tech giants have also made markets more vulnerable. In recent research Robeco zoom in on the implications of increased index concentration.
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How AI helps detecting themes
Combining quantitative techniques with fundamental analysis, quantamental thematic investing enhances traditional methods. It leverages AI for early theme detection and objective decision-making. This approach aims to improve investment outcomes by identifying trends and reducing emotional biases.
